Software Tools for Earth and Environmental Science
Week1 - Introduction
Syllabus
Book
Data
Code
New Accounts
Data
- What is the Data
- Data Collection and Production
- Data Types, Formats and Source
- Popular Terms About Data
- Obtain and Get the Data
What is the Data
Data Collection and Production
Data Types, Formats and Source
Popular Terms About Data
- Data Science
- Data Analysis
- Big Data
- Data Mining
- Data Assimilation and Manipulation
Data Science
Data Analysis
Big Data
Data Mining
Data Assimilation and Manipulation
Obtain and Get the Data
Code
- Operational Systems
- Programming Languages
- Fields of Programming
- Popular Terms About Programming
- Interpretation and Visualization
- Algorithm, Simulation and Modeling
Operational Systems
- Microsoft Windows
- Unix
- Apple Macintosh OS
- Linux OS
Programming Languages
- C
- Fortran
- JavaScript
- Python
- R
- NCL
Fields of Programming
Popular Terms About Programming
- Artifical Intelligent
- Machine Learning
- Deep Learning
- Internet of Things
NEW ACCOUNTS
- Github, Researchgate, DOI Code, ORCID, Overleaf(LaTeX)
- Mendeley, Panoply, Sublime Text, Filezilla
- ArcGIS, QGIS
- Anaconda, Jupyter, Cygwin, R Studio, NCL
- Meted, Coursera, Udemy, Datacamp, Edx, Khanacademy
- Stackoverflow, Wolfram-alpha, Dropbox, Wetransfer
Github
Researchgate
DOI Code - (digital object identifier) - Zenodo
ORCID
Overleaf (LaTeX)
Mendeley
Panoply
Sublime Text
Filezilla
ArcGIS
QGIS
